Degenerative diseases such as Alzheimer’s often involve complex interactions between multiple proteins and other biomolecules. Understanding these interactions using existing imaging technologies is difficult because of insufficient resolution and the impossibility of simultaneously detecting many different proteins. In a recent interdisciplinary study, a research team led by Professors Dae Won Moon and Su-Il In from Daegu Gyeongbuk Institute of Science and Technology developed an innovative approach using secondary-ion mass spectrometry (SIMS).
Previously, it was not possible to image proteins with SIMS. In this new approach, different metal oxide nanoparticles are individually attached to antibodies that bind to specific target proteins. The mass spectrometer can easily detect these nanoparticles even at low irradiation doses, which leaves the cell tissue intact and allows for multiple analyses on the same cells. Through this approach, it is theoretically possible to analyse tens of proteins simultaneously. This vastly surpasses existing fluorescence-based approaches, which allow for the simultaneous imaging of around four proteins.
The researchers used their method to compare the distribution of proteins in the brain tissue of mice that were either healthy or had Alzheimer’s. They showed that valuable insight could be gained from observing multiplex protein distributions in the hippocampus section of the brain, and demonstrated how these differed between healthy and diseased mice.
Achieving these results required combining knowledge from many disciplines. Prof. Moon remarks, “For me, a special highlight of this work is the collaboration of many researchers from different backgrounds, such as chemists, nano-particle experts, medical doctors, and biologists. It was not easy and took a long time, but it was exciting to see the progress. We can now visualize multiple proteins on cell membranes with a spatial resolution of 300 nm.” He expects this new imaging approach to become an important tool to deepen our understanding on degenerative diseases. “The proposed technique could be used to figure out the early stages of Alzheimer’s disease, in turn allowing for early detection and treatment,” he states, hopefully.
Their work has been published in ACS Applied Materials & Interfaces.
